Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	338592
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	309810
Duplicate rows (%)	91.5%
Total size in memory	51.7 MiB
Average record size in memory	160.0 B

Variable types

Numeric	18
Categorical	2

Warnings

Dataset has 309810 (91.5%) duplicate rows	Duplicates
`TorokuTosu_y` is highly correlated with `SyussoTosu_y` and 1 other fields	High correlation
`SyussoTosu_y` is highly correlated with `TorokuTosu_y` and 1 other fields	High correlation
`NyusenTosu` is highly correlated with `TorokuTosu_y` and 1 other fields	High correlation
`LapTime2` is highly correlated with `LapTime3` and 2 other fields	High correlation
`LapTime3` is highly correlated with `LapTime2` and 2 other fields	High correlation
`LapTime4` is highly correlated with `LapTime2` and 2 other fields	High correlation
`LapTime5` is highly correlated with `LapTime2` and 2 other fields	High correlation
`FukasyokinBefore3` is highly skewed (γ1 = 30.93317254)	Skewed
`FukasyokinBefore3` has 338094 (99.9%) zeros	Zeros
`HassoTimeBefore` has 305443 (90.2%) zeros	Zeros
`LapTime1` has 11858 (3.5%) zeros	Zeros
`LapTime2` has 11858 (3.5%) zeros	Zeros
`LapTime3` has 11858 (3.5%) zeros	Zeros
`LapTime4` has 11858 (3.5%) zeros	Zeros
`LapTime5` has 11858 (3.5%) zeros	Zeros
`LapTime6` has 18294 (5.4%) zeros	Zeros
`LapTime7` has 89168 (26.3%) zeros	Zeros
`LapTime8` has 147752 (43.6%) zeros	Zeros
`LapTime9` has 191948 (56.7%) zeros	Zeros
`LapTime10` has 283505 (83.7%) zeros	Zeros
`LapTime11` has 316982 (93.6%) zeros	Zeros

Reproduction

Analysis started	2021-04-07 13:04:53.007083
Analysis finished	2021-04-07 13:06:53.274881
Duration	2 minutes and 0.27 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

FukasyokinBefore3
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.8742675551
Minimum	0
Maximum	1320
Zeros	338094
Zeros (%)	99.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1320
Range	1320
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	24.08601076
Coefficient of variation (CV)	27.54993093
Kurtosis	1071.744527
Mean	0.8742675551
Median Absolute Deviation (MAD)	0
Skewness	30.93317254
Sum	296020
Variance	580.1359142
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	338094	99.9%
530	35	< 0.1%
470	29	< 0.1%
870	29	< 0.1%
490	28	< 0.1%
520	27	< 0.1%
480	26	< 0.1%
840	24	< 0.1%
410	21	< 0.1%
510	20	< 0.1%
Other values (21)	259	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	338094	99.9%
260	5	< 0.1%
310	9	< 0.1%
320	17	< 0.1%
370	10	< 0.1%

Value	Count	Frequency (%)
1320	12	< 0.1%
920	14	< 0.1%
900	16	< 0.1%
870	29	< 0.1%
840	24	< 0.1%

HassoTime
Real number (ℝ_≥0)

Distinct	118
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1287.000576
Minimum	931
Maximum	1710
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	931
5-th percentile	1001
Q1	1110
median	1301
Q3	1450
95-th percentile	1610
Maximum	1710
Range	779
Interquartile range (IQR)	340

Descriptive statistics

Standard deviation	200.5995257
Coefficient of variation (CV)	0.1558659176
Kurtosis	-1.198122029
Mean	1287.000576
Median Absolute Deviation (MAD)	181
Skewness	0.0673545988
Sum	435768099
Variance	40240.16972
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1501	10968	3.2%
1610	9730	2.9%
1425	9593	2.8%
1535	9520	2.8%
1545	8082	2.4%
1350	7956	2.3%
1510	7141	2.1%
1100	6821	2.0%
1030	6663	2.0%
1130	6643	2.0%
Other values (108)	255475	75.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
931	16	< 0.1%
935	42	< 0.1%
940	46	< 0.1%
950	5686	1.7%
951	99	< 0.1%

Value	Count	Frequency (%)
1710	186	0.1%
1705	61	< 0.1%
1701	22	< 0.1%
1700	43	< 0.1%
1654	12	< 0.1%

HassoTimeBefore
Real number (ℝ_≥0)

ZEROS

Distinct	78
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	134.9531294
Minimum	0
Maximum	1700
Zeros	305443
Zeros (%)	90.2%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1500
Maximum	1700
Range	1700
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	414.6873736
Coefficient of variation (CV)	3.072825175
Kurtosis	6.116091035
Mean	134.9531294
Median Absolute Deviation (MAD)	0
Skewness	2.81531587
Sum	45694050
Variance	171965.6178
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	305443	90.2%
1500	11067	3.3%
1400	5235	1.5%
1000	4760	1.4%
1600	4627	1.4%
1300	1301	0.4%
1430	352	0.1%
1620	314	0.1%
1435	274	0.1%
1230	272	0.1%
Other values (68)	4947	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	305443	90.2%
930	16	< 0.1%
950	152	< 0.1%
955	15	< 0.1%
1000	4760	1.4%

Value	Count	Frequency (%)
1700	83	< 0.1%
1650	12	< 0.1%
1640	14	< 0.1%
1630	13	< 0.1%
1625	156	< 0.1%

TorokuTosu_y
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14.87272588
Minimum	5
Maximum	18
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	5
5-th percentile	10
Q1	14
median	16
Q3	16
95-th percentile	18
Maximum	18
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.33483742
Coefficient of variation (CV)	0.1569878608
Kurtosis	0.7537263851
Mean	14.87272588
Median Absolute Deviation (MAD)	1
Skewness	-1.058186962
Sum	5035786
Variance	5.451465777
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
16	147685	43.6%
18	39669	11.7%
15	33655	9.9%
14	32134	9.5%
13	21462	6.3%
12	19336	5.7%
11	14838	4.4%
10	10827	3.2%
17	7183	2.1%
9	6865	2.0%
Other values (4)	4938	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	81	< 0.1%
6	271	0.1%
7	1058	0.3%
8	3528	1.0%
9	6865	2.0%

Value	Count	Frequency (%)
18	39669	11.7%
17	7183	2.1%
16	147685	43.6%
15	33655	9.9%
14	32134	9.5%

SyussoTosu_y
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14.82066026
Minimum	5
Maximum	18
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	5
5-th percentile	10
Q1	14
median	16
Q3	16
95-th percentile	18
Maximum	18
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.339236325
Coefficient of variation (CV)	0.1578361749
Kurtosis	0.7285753407
Mean	14.82066026
Median Absolute Deviation (MAD)	1
Skewness	-1.040030594
Sum	5018157
Variance	5.472026584
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
16	139647	41.2%
15	40158	11.9%
18	37628	11.1%
14	32406	9.6%
13	22229	6.6%
12	19406	5.7%
11	15103	4.5%
10	10971	3.2%
17	8811	2.6%
9	7096	2.1%
Other values (4)	5137	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	103	< 0.1%
6	280	0.1%
7	1123	0.3%
8	3631	1.1%
9	7096	2.1%

Value	Count	Frequency (%)
18	37628	11.1%
17	8811	2.6%
16	139647	41.2%
15	40158	11.9%
14	32406	9.6%

NyusenTosu
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14.74984938
Minimum	4
Maximum	18
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	4
5-th percentile	10
Q1	14
median	16
Q3	16
95-th percentile	18
Maximum	18
Range	14
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.367321536
Coefficient of variation (CV)	0.1604980143
Kurtosis	0.6144122024
Mean	14.74984938
Median Absolute Deviation (MAD)	1
Skewness	-1.006127218
Sum	4994181
Variance	5.604211253
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
16	133096	39.3%
15	44798	13.2%
18	35757	10.6%
14	30180	8.9%
13	23896	7.1%
12	20171	6.0%
11	16166	4.8%
10	11374	3.4%
17	10203	3.0%
9	7411	2.2%
Other values (5)	5540	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	6	< 0.1%
5	102	< 0.1%
6	324	0.1%
7	1229	0.4%
8	3879	1.1%

Value	Count	Frequency (%)
18	35757	10.6%
17	10203	3.0%
16	133096	39.3%
15	44798	13.2%
14	30180	8.9%

TenkoCD
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.498086192
Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7711424618
Coefficient of variation (CV)	0.5147517318
Kurtosis	3.344227819
Mean	1.498086192
Median Absolute Deviation (MAD)	0
Skewness	1.763089212
Sum	507240
Variance	0.5946606964
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	213850	63.2%
2	93841	27.7%
3	18934	5.6%
4	11330	3.3%
6	401	0.1%
5	236	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	213850	63.2%
2	93841	27.7%
3	18934	5.6%
4	11330	3.3%
5	236	0.1%

Value	Count	Frequency (%)
6	401	0.1%
5	236	0.1%
4	11330	3.3%
3	18934	5.6%
2	93841	27.7%

SibaBabaCD
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	171253
1	132060
2	22290
3	9759
4	3230

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
0	171253	50.6%
1	132060	39.0%
2	22290	6.6%
3	9759	2.9%
4	3230	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	171253	50.6%
1	132060	39.0%
2	22290	6.6%
3	9759	2.9%
4	3230	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	171253	50.6%
1	132060	39.0%
2	22290	6.6%
3	9759	2.9%
4	3230	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	171253	50.6%
1	132060	39.0%
2	22290	6.6%
3	9759	2.9%
4	3230	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	171253	50.6%
1	132060	39.0%
2	22290	6.6%
3	9759	2.9%
4	3230	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	171253	50.6%
1	132060	39.0%
2	22290	6.6%
3	9759	2.9%
4	3230	1.0%

DirtBabaCD
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	161157
1	108173
2	34337
3	21840
4	13085

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	161157	47.6%
1	108173	31.9%
2	34337	10.1%
3	21840	6.5%
4	13085	3.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	161157	47.6%
1	108173	31.9%
2	34337	10.1%
3	21840	6.5%
4	13085	3.9%

Most occurring characters

Value	Count	Frequency (%)
0	161157	47.6%
1	108173	31.9%
2	34337	10.1%
3	21840	6.5%
4	13085	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	161157	47.6%
1	108173	31.9%
2	34337	10.1%
3	21840	6.5%
4	13085	3.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	161157	47.6%
1	108173	31.9%
2	34337	10.1%
3	21840	6.5%
4	13085	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	161157	47.6%
1	108173	31.9%
2	34337	10.1%
3	21840	6.5%
4	13085	3.9%

LapTime1
Real number (ℝ_≥0)

ZEROS

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	116.2495924
Minimum	0
Maximum	141
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	69
Q1	121
median	124
Q3	127
95-th percentile	130
Maximum	141
Range	141
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	26.6668757
Coefficient of variation (CV)	0.2293932834
Kurtosis	10.34046514
Mean	116.2495924
Median Absolute Deviation (MAD)	3
Skewness	-3.247487406
Sum	39361182
Variance	711.1222594
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
125	35271	10.4%
124	33130	9.8%
126	32908	9.7%
123	30545	9.0%
127	28821	8.5%
122	24800	7.3%
128	23131	6.8%
129	17668	5.2%
121	17441	5.2%
120	14143	4.2%
Other values (41)	80734	23.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
62	13	< 0.1%
64	13	< 0.1%
65	24	< 0.1%
66	243	0.1%

Value	Count	Frequency (%)
141	6	< 0.1%
140	20	< 0.1%
139	45	< 0.1%
138	81	< 0.1%
137	127	< 0.1%

LapTime2
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	42
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	107.9366967
Minimum	0
Maximum	146
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	103
Q1	108
median	111
Q3	115
95-th percentile	120
Maximum	146
Range	146
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	21.0872689
Coefficient of variation (CV)	0.1953670026
Kurtosis	21.06550573
Mean	107.9366967
Median Absolute Deviation (MAD)	3
Skewness	-4.656630823
Sum	36546502
Variance	444.6729097
Monotocity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
110	30663	9.1%
111	27415	8.1%
109	27246	8.0%
112	27032	8.0%
113	25526	7.5%
108	24522	7.2%
114	22545	6.7%
115	19315	5.7%
107	18654	5.5%
116	15392	4.5%
Other values (32)	100282	29.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
98	16	< 0.1%
99	74	< 0.1%
100	390	0.1%
101	853	0.3%

Value	Count	Frequency (%)
146	13	< 0.1%
140	12	< 0.1%
137	7	< 0.1%
135	49	< 0.1%
134	46	< 0.1%

LapTime3
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	52
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	116.0168758
Minimum	0
Maximum	153
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	108
Q1	115
median	118
Q3	124
95-th percentile	134
Maximum	153
Range	153
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	23.2131882
Coefficient of variation (CV)	0.2000845829
Kurtosis	18.91514201
Mean	116.0168758
Median Absolute Deviation (MAD)	5
Skewness	-4.294595249
Sum	39282386
Variance	538.8521064
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
117	22351	6.6%
116	21983	6.5%
118	20799	6.1%
115	20654	6.1%
119	18627	5.5%
114	18481	5.5%
120	18038	5.3%
113	15764	4.7%
121	14533	4.3%
122	12913	3.8%
Other values (42)	154449	45.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
103	51	< 0.1%
104	188	0.1%
105	314	0.1%
106	748	0.2%

Value	Count	Frequency (%)
153	25	< 0.1%
152	17	< 0.1%
151	7	< 0.1%
150	8	< 0.1%
149	57	< 0.1%

LapTime4
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	119.5768122
Minimum	0
Maximum	152
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	112
Q1	119
median	123
Q3	128
95-th percentile	135
Maximum	152
Range	152
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	23.5962687
Coefficient of variation (CV)	0.1973314747
Kurtosis	20.13014201
Mean	119.5768122
Median Absolute Deviation (MAD)	4
Skewness	-4.509621752
Sum	40487752
Variance	556.7838964
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
122	22515	6.6%
123	21325	6.3%
124	20274	6.0%
121	20157	6.0%
125	19957	5.9%
120	19779	5.8%
126	18100	5.3%
127	16349	4.8%
119	15672	4.6%
128	15619	4.6%
Other values (43)	148845	44.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
100	14	< 0.1%
101	28	< 0.1%
102	7	< 0.1%
103	29	< 0.1%

Value	Count	Frequency (%)
152	14	< 0.1%
150	32	< 0.1%
149	28	< 0.1%
148	28	< 0.1%
147	120	< 0.1%

LapTime5
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	44
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	119.2584054
Minimum	0
Maximum	149
Zeros	11858
Zeros (%)	3.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	112
Q1	119
median	123
Q3	127
95-th percentile	132
Maximum	149
Range	149
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	23.36977089
Coefficient of variation (CV)	0.1959591092
Kurtosis	20.7726809
Mean	119.2584054
Median Absolute Deviation (MAD)	4
Skewness	-4.617303658
Sum	40379942
Variance	546.1461914
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
124	23966	7.1%
125	23473	6.9%
123	23167	6.8%
122	22391	6.6%
126	21266	6.3%
127	20659	6.1%
121	20046	5.9%
120	18276	5.4%
128	17831	5.3%
129	14358	4.2%
Other values (34)	133159	39.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	11858	3.5%
104	14	< 0.1%
106	31	< 0.1%
107	21	< 0.1%
108	165	< 0.1%

Value	Count	Frequency (%)
149	12	< 0.1%
147	8	< 0.1%
145	30	< 0.1%
144	123	< 0.1%
143	122	< 0.1%

LapTime6
Real number (ℝ_≥0)

ZEROS

Distinct	48
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	116.9241654
Minimum	0
Maximum	160
Zeros	18294
Zeros (%)	5.4%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	119
median	123
Q3	127
95-th percentile	133
Maximum	160
Range	160
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	28.49840387
Coefficient of variation (CV)	0.2437340799
Kurtosis	12.33103535
Mean	116.9241654
Median Absolute Deviation (MAD)	4
Skewness	-3.69152971
Sum	39589587
Variance	812.1590231
Monotocity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
123	22924	6.8%
125	22454	6.6%
124	21834	6.4%
122	20346	6.0%
126	20201	6.0%
121	19560	5.8%
127	18805	5.6%
0	18294	5.4%
120	18079	5.3%
128	17441	5.2%
Other values (38)	138654	41.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	18294	5.4%
104	13	< 0.1%
106	88	< 0.1%
107	93	< 0.1%
108	252	0.1%

Value	Count	Frequency (%)
160	10	< 0.1%
150	18	< 0.1%
149	7	< 0.1%
148	12	< 0.1%
147	29	< 0.1%

LapTime7
Real number (ℝ_≥0)

ZEROS

Distinct	50
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	90.71248582
Minimum	0
Maximum	152
Zeros	89168
Zeros (%)	26.3%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	120
Q3	126
95-th percentile	132
Maximum	152
Range	152
Interquartile range (IQR)	126

Descriptive statistics

Standard deviation	54.50078389
Coefficient of variation (CV)	0.6008079637
Kurtosis	-0.8658872115
Mean	90.71248582
Median Absolute Deviation (MAD)	7
Skewness	-1.042001951
Sum	30714522
Variance	2970.335445
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	89168	26.3%
125	16363	4.8%
124	15680	4.6%
127	15192	4.5%
126	15023	4.4%
123	14500	4.3%
122	14352	4.2%
128	13041	3.9%
121	13031	3.8%
120	12263	3.6%
Other values (40)	119979	35.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89168	26.3%
101	11	< 0.1%
102	21	< 0.1%
103	51	< 0.1%
104	21	< 0.1%

Value	Count	Frequency (%)
152	8	< 0.1%
151	11	< 0.1%
147	38	< 0.1%
146	37	< 0.1%
145	53	< 0.1%

LapTime8
Real number (ℝ_≥0)

ZEROS

Distinct	45
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	68.88634108
Minimum	0
Maximum	148
Zeros	147752
Zeros (%)	43.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	115
Q3	123
95-th percentile	130
Maximum	148
Range	148
Interquartile range (IQR)	123

Descriptive statistics

Standard deviation	60.7782526
Coefficient of variation (CV)	0.8822975882
Kurtosis	-1.920379453
Mean	68.88634108
Median Absolute Deviation (MAD)	14
Skewness	-0.2401882339
Sum	23324364
Variance	3693.995989
Monotocity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
0	147752	43.6%
123	11919	3.5%
124	11903	3.5%
121	11841	3.5%
122	11671	3.4%
120	11321	3.3%
125	11094	3.3%
126	10714	3.2%
118	10315	3.0%
119	10281	3.0%
Other values (35)	89781	26.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	147752	43.6%
102	25	< 0.1%
103	17	< 0.1%
104	47	< 0.1%
105	146	< 0.1%

Value	Count	Frequency (%)
148	14	< 0.1%
147	11	< 0.1%
143	25	< 0.1%
142	15	< 0.1%
141	88	< 0.1%

LapTime9
Real number (ℝ_≥0)

ZEROS

Distinct	47
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	53.85450926
Minimum	0
Maximum	150
Zeros	191948
Zeros (%)	56.7%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	122
95-th percentile	133
Maximum	150
Range	150
Interquartile range (IQR)	122

Descriptive statistics

Standard deviation	61.79708269
Coefficient of variation (CV)	1.14748205
Kurtosis	-1.892862014
Mean	53.85450926
Median Absolute Deviation (MAD)	0
Skewness	0.2879725768
Sum	18234706
Variance	3818.879429
Monotocity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
0	191948	56.7%
118	7529	2.2%
120	7127	2.1%
128	6820	2.0%
125	6792	2.0%
119	6766	2.0%
124	6685	2.0%
127	6472	1.9%
121	6466	1.9%
122	6457	1.9%
Other values (37)	85530	25.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	191948	56.7%
103	8	< 0.1%
105	35	< 0.1%
106	62	< 0.1%
107	113	< 0.1%

Value	Count	Frequency (%)
150	26	< 0.1%
148	12	< 0.1%
147	27	< 0.1%
146	82	< 0.1%
145	51	< 0.1%

LapTime10
Real number (ℝ_≥0)

ZEROS

Distinct	37
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	19.7001583
Minimum	0
Maximum	143
Zeros	283505
Zeros (%)	83.7%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	123
Maximum	143
Range	143
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	44.74496893
Coefficient of variation (CV)	2.271299968
Kurtosis	1.394757853
Mean	19.7001583
Median Absolute Deviation (MAD)	0
Skewness	1.837580588
Sum	6670316
Variance	2002.112244
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	283505	83.7%
120	4510	1.3%
119	4112	1.2%
122	4064	1.2%
121	3938	1.2%
123	3754	1.1%
118	3579	1.1%
117	3328	1.0%
124	3282	1.0%
116	2872	0.8%
Other values (27)	21648	6.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	283505	83.7%
107	5	< 0.1%
108	138	< 0.1%
109	114	< 0.1%
110	485	0.1%

Value	Count	Frequency (%)
143	15	< 0.1%
142	29	< 0.1%
140	26	< 0.1%
139	62	< 0.1%
138	54	< 0.1%

LapTime11
Real number (ℝ_≥0)

ZEROS

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.729479728
Minimum	0
Maximum	142
Zeros	316982
Zeros (%)	93.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	116
Maximum	142
Range	142
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	29.64295943
Coefficient of variation (CV)	3.835052354
Kurtosis	10.90039441
Mean	7.729479728
Median Absolute Deviation (MAD)	0
Skewness	3.585343533
Sum	2617140
Variance	878.7050436
Monotocity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	316982	93.6%
121	1467	0.4%
120	1465	0.4%
123	1354	0.4%
118	1317	0.4%
119	1282	0.4%
116	1153	0.3%
117	1136	0.3%
115	1084	0.3%
124	1067	0.3%
Other values (30)	10285	3.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	316982	93.6%
102	8	< 0.1%
105	4	< 0.1%
106	31	< 0.1%
107	19	< 0.1%

Value	Count	Frequency (%)
142	9	< 0.1%
141	15	< 0.1%
140	26	< 0.1%
139	11	< 0.1%
138	28	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	HassoTime	TorokuTosu_y	SyussoTosu_y	NyusenTosu	TenkoCD	SibaBabaCD	LapTime1	LapTime2	LapTime3	LapTime4	LapTime5	LapTime6
0	1525	16	16	16	1	1	118	106	111	113	117	127
1	1535	14	14	14	1	1	121	111	112	114	113	125
2	1640	9	9	9	2	1	121	107	112	115	115	126
3	1525	18	18	18	1	1	120	105	115	120	120	121
4	1525	16	16	16	1	1	118	106	111	113	117	127
5	1445	16	16	16	2	1	119	106	111	117	114	125
6	1445	14	14	14	1	1	121	108	114	116	114	125
7	1240	16	16	16	1	1	124	108	112	112	110	117
8	1525	16	16	16	1	1	123	108	112	116	117	123
9	1310	17	16	16	1	1	120	105	110	116	123	124

Last rows

	HassoTime	TorokuTosu_y	SyussoTosu_y	NyusenTosu	TenkoCD	SibaBabaCD	DirtBabaCD	LapTime1	LapTime2	LapTime3	LapTime4	LapTime5	LapTime6	LapTime7	LapTime8	LapTime9	LapTime10
338582	1415	17	17	17	1	1	0	121	104	115	115	118	119	0	0	0	0
338583	1415	17	17	17	1	1	0	121	104	115	115	118	119	0	0	0	0
338584	1025	17	17	17	1	1	0	121	105	110	111	117	121	0	0	0	0
338585	1245	18	18	18	1	1	0	126	112	121	124	121	119	117	117	121	125
338586	1315	14	14	14	1	0	1	120	105	116	121	122	0	0	0	0	0
338587	1345	11	11	11	1	1	0	121	105	111	115	116	118	0	0	0	0
338588	1525	12	12	12	1	1	0	125	113	120	118	117	118	117	118	115	0
338589	1035	17	17	17	2	1	0	121	104	112	115	117	119	0	0	0	0
338590	1135	13	13	13	2	1	0	127	112	124	128	126	122	124	122	120	120
338591	1225	16	16	16	2	1	0	128	118	135	131	123	123	119	120	117	0

Most frequent

	HassoTime	TorokuTosu_y	SyussoTosu_y	NyusenTosu	TenkoCD	SibaBabaCD	DirtBabaCD	count
8995	1140	14	14	14	1	1	1	185
8976	1140	14	14	13	1	1	1	153
8221	1130	14	14	14	1	1	1	152
7461	1120	14	14	14	1	1	1	151
7459	1120	14	14	14	1	1	0	140
7439	1120	14	14	13	1	1	1	127
8214	1130	14	14	14	1	1	0	89
9717	1210	14	14	14	1	1	0	76
8189	1130	14	14	12	1	1	1	74
7787	1125	14	14	14	1	1	0	73

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent